Research Fellow (m/f/d) Climate Lab with expected full-time employment - E 13 TV-L HU (third party funding limited for 3 years)

Published
Closing Date
WorkplaceBerlin, Berlin, Germany
Category
Position

Research Fellow (m/f/d) Climate Lab with expected full-time employment - E 13 TV-L HU (third party funding limited for 3 years)

Kennziffer DR/112/24 Kategorie(n) Wissenschaftliches Personal Anzahl der Stellen 1 Einsatzort

Faculty of Mathematics and Natural Sciences - Geography Department

Bewerbung bis 09.10.24 Text

Glacier-Space is a bilateral research project between the Humboldt University of Berlin (HU) and the University of Innsbruck (UIBK), funded by the German Research Foundation and the Austrian Science Fund. The project investigates the interactions between glaciers and the atmosphere in high mountain regions. It aims to assess the resilience of mountain glaciers and to systematically investigate their vulnerability to climate change. A particular focus is the development of a new, unified approach to glacier resilience assessment. This approach will be developed at Hintereisferner Glacier, using innovative methods for observing micrometeorological conditions and advanced atmospheric models. The aim is to analyse the impact of climate change on glacier retreat rates and to better understand the implications for mountain ecosystems and local water resources.

The researcher at the HU Berlin will perform large-eddy simulations with the ICON model, focusing on the properties of the near-surface air layer and the feedback mechanisms on large- and mesoscale circulations. The selected candidate will work together closely with the researcher at UIBK, with regular meetings and visits to each other’s locations. In addition, they will work together to organise and lead fieldwork and experiments on the Hintereisferner glacier.

 

Job description:

  • scientific services in research in the "Glacier-Space" research project, especially coordination, organization and execution of measurement campaigns and experiments on Hintereisferner
  • Analysis of measurements (eddy covariance, UAV, LiDAR, radiosondes, weather stations, etc.)
  • development of a resilience concept for mountain glaciers
  • perform high-resolution large-scale eddy simulations using the ICON high performance modelling framework
  • publication and presentation of research results in high-impact scientific journals
  • and at international conferences
  • supervision of undergraduate and graduate students
  • collaboration with members of the Berlin University Alliance and ACINN at the University of Innsbruck


 

Requirements:

  • completed university degree in Geography, Climate Science, Meteorology or related fields
  • strong knowledge of mountain meteorology and experience in experimental meteorology
  • modelling experience, preferably in glaciology or atmospheric sciences, e.g. with ICON, WRF, Palm, OpenFOAM
  • excellent programming skills and experience with large datasets and scientific high performance computing
  • proven publication record in peer-reviewed journals and established national or international research profile (according to career stage)
  • high motivation, excellent communication skills and ability to work in an
  • interdisciplinary manner
  • good command of written and spoken English
Bewerbung an

Please send your application (including a cover letter, full CV, copies of relevant certificates, list of publications and projects, representation of the research profile, naming of three references, as well as relevant publications (optional)) within 4 weeks referencing the jobID DR/112/24 to  Humboldt-Universität zu Berlin, Faculty of Mathematics and Natural Sciences, Geography Department, Prof. Dr. Tobias Sauter (located: Rudower Chaussee 16, 12489 Berlin), Unter den Linden 6, 10099 Berlin or preferably in electronic form as a single PDF file to sylvia.zinke-friedrichgeo.hu-berlin.de .

For further questions, please contact Prof. Dr. Tobias Sauter at tobias.sautergeo.hu-berlin.de .

The Humboldt-Universität zu Berlin is seeking to increase the proportion of women in research and teaching, and specifically encourages qualified female scholars to apply. Severely disabled applicants with equivalent qualifications will be given preferential con-sideration. People with immigration history are specifically encouraged to apply.Since we will not return your documents, please submit copies in the application only.

Information pursuant to Art. 12, 13 DSGVO on the processing of personal data at Humboldt-Universität within the framework of job advertisements can be found on our Website: https://hu.berlin/DSGVO .

Please visit our website ?url=www.hu-berlin.de%2Fstellenangebote&module=jobs&id=2956773" target="_blank" rel="nofollow">?url=www.hu-berlin.de%2Fstellenangebote&module=jobs&id=2956773" target="_blank" rel="nofollow">www.hu-berlin.de/­stellenangebote , which gives you access to the legally binding German version.
In your application, please refer to myScience.org and reference JobID 2956773.